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Multi-channel quantum parameter estimation

Science China(Information Sciences) 2022年第10期65卷 53-65页

作者： Liying BAO Bo QI Yabo WANG Daoyi DONG Rebing WU Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences University of Chinese Academy of Sciences School of Engineering and Information Technology University of New South Wales Department of Automation Tsinghua University

The aim of quantum metrology is to exploit quantum effects to improve the precision of parameter estimation beyond its classical limit. In this paper, we investigate the quantum parameter estimation problem with multiple channels. It is related but not limited to the following two important and practical quantum metrology problems:(i) Quantum enhanced metrology with control, whose aim is to improve the precision of quantum sensing by utilizing feedback or open-loop control;(ii) Practical quantum metrology where the underlying evolution of quantum probes may change from a unitary dynamics to an open system dynamics,owing to the inevitable decoherence during the quantum sensing operation. For various kinds of quantum multiple channels, the corresponding quantum channel Fisher information is derived. To demonstrate the results, some illustrative examples are given.

关键词： quantum metrology quantum parameter estimation multi-channel quantum Fisher information

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An Ensemble of UNet Frameworks for Lung Nodule Segmentation

An Ensemble of UNet Frameworks for Lung Nodule Segmentatio...

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International Conference on Actual Problems of Applied Mathematics and Computer Systems, APAMCS 2022

作者： Gautam, Nandita Basu, Abhishek Kaplun, Dmitry Sarkar, Ram Department of Computer Science and Engineering Jadavpur University Kolkata India Department of Computer Science and Engineering National Institute of Technology Durgapur Durgapur India Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia

ISBN: (纸本)9783031341267

One of the most common types of cancer in the world is lung cancer, which is a cause of increasing mortality. It is most often discovered in the middle and later stages as it does not have obvious symptoms due to which its treatment is often missed. Studies show that most lung cancers are in the form of lung nodules, which can be categorized as benign or malignant. Thus, accurate early identification of malignant lung nodules that might later become cancerous is essential for the prevention of lung cancer. Computed Tomography (CT) images can be useful for identifying and segmenting these nodules. In this paper, we propose an ensemble model, called BUS-UNet++, to segment lung nodules using CT images. We use a combination of the ConvLSTM up-sampling architecture from BUS-UNet and skip connections in aggregation blocks from the UNet++ model to build the BUS-UNet++ ensemble. The dataset for this study is collected from the Lung Image Database Consortium Image Database Resource Initiative (LIDC-IDRI), where we have selected the modality of these images as CT images. These are further preprocessed to obtain nodule masks and nodule images, which constitute the Region of Interest (RoI). The accuracy achieved with the Adam Optimizer is 0.9731, the Intersection over Union (IoU) of about 0.8439, and the dice score coefficient (DSC) of about 0.958 are obtained by the proposed system. This ensemble model outperforms several state-of-the-art models used for the same purpose. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Image segmentation

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Sensorless control of PMaSynRM with HFI Method using Modified PLL for Low Speeds

Sensorless Control of PMaSynRM with HFI Method using Modifie...

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2022 International Conference on Electrical Machines, ICEM 2022

作者： Akgul, K. Tap, A. Ergenc, A.F. Yilmaz, M. Ergene, L.T. Istanbul Technical University Department of Electrical Engineering Istanbul34469 Turkey Istanbul Technical University Department of Control and Automation Engineering Istanbul34469 Turkey

ISBN: (数字)9781665414326

ISBN: (纸本)9781665414326

Nowadays, Permanent Magnet Assisted Synchronous Reluctance Motor, is a favorable alternative for variable speed drive systems. It has the advantages of comparable costs, low maintenance requirements, and superior efficiency and power density compared to the conventional counterparts like Induction Motors and Permanent Magnet Synchronous Motors. Despite the advantages of the sensorless control of these motors at low and zero speed, they still need some improvements. The extended electromotive force sensorless control method is usually regarded as insufficient in literature;thus, the high frequency injection method is often recommended. In this study, improvements are introduced to the selected high frequency injection method. It is based on injecting high frequency sinusoidal voltages with constant amplitude in the αβ0 axis. That provides a more robust and efficient sensorless control. The improvements which are basic but effective include an adaptive bandpass filter, modified phase-locked loop, and angle compensation. First, the proposed high frequency injection method is simulated and then implemented experimentally. This improved high frequency injection method is suitable for the sensorless control of PMaSynRM. © 2022 IEEE.

关键词： Sensorless control

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Multi-Objective Optimal control of Wastewater Treatment Processes Constrainted by Energy-Saving and Effluent Qualities 6

Multi-Objective Optimal Control of Wastewater Treatment Proc...

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6th International Conference on Robotics, control and automation engineering, RCAE 2023

作者： Zhang, Jing Yan, Haoming Chen, Hongtian Xu, Shuiqing Liu, Yiqi School of Automation Science & Engineering South China University of Technology Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangzhou510640 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China College of Electrical Engineering and Automation Hefei University of Technology Hefei230009 China

ISBN: (纸本)9798350315301

Considering the high energy consumption problem in the wastewater treatment process, this paper proposes a multi-objective optimization control scheme based on NSGA-II algorithm. The proposed scheme can not only ensures meet effluent quality requirements but also can achieves energy cost savings. This method takes the aeration energy consumption and pumping energy consumption of the system as the optimization goal with the effluent water quality being the constraint condition. At the same time, the adaptive fuzzy PID controller is designed to ensure the control accuracy and stability of the controlled system. The results of simulation experiments validated in benchmark simulation platform, BSM1, show that, compared with PI control and single-objective optimization control, the proposed optimization scheme in this paper can achieve the desired quality of the effluent water withmore energy-saving. © 2023 IEEE.

关键词： Energy utilization

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Self-Tuning Neural Network controller Based on Fuzzy Logic for Multiple Positions Tracking of a Pneumatic Driven Soft Endoscope Actuator

Self-Tuning Neural Network Controller Based on Fuzzy Logic f...

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International Conference on Autonomous Robots and Agents, ICARA

作者： Renzo Acosta Julio Tafur Ruth Canahuire Enginnering Department Control and Automation Engineering Master Degree Program Pontificia Universidad Catolica del Peru Lima Peru Department of Electrical and Mechatronics Engineering Universidad de Ingenieria y Tecnologia - UTEC Lima Peru

ISBN: (数字)9798350394245

ISBN: (纸本)9798350394252

This paper presents the dynamic modelling and end effector position control of a soft endoscope. Soft endoscope system under study consists mainly of a pneumatic driven soft actuator (PDSA) with four independently chambers. Recurrent neural network (RNN) and dynamic back propagation (DBP) training algorithm are used to obtain PDSA dynamic model. PDSA position controller is based on a feedforward neural network (FNN) and it is trained using PDSA closed loop system (CLS) and DBP training algorithm. CLS stability analysis concludes that it is not possible control PDSA end effector position using one position controller for different end effector initial and desired positions. Fuzzy logic methodology is used to integrate several positions controllers in a one controller valid for all operation range. The controller implementation and close loop system simulation are performed in MATLAB for different end effector desired position to validate system performance in all range of operation.

关键词： Training Fuzzy logic Backpropagation Recurrent neural networks Endoscopes Heuristic algorithms Artificial neural networks

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Extended NNs-Based Adaptive Event-Triggered Asymptotic control for Nonlinear Systems Against Actuator Faults 7

Extended NNs-Based Adaptive Event-Triggered Asymptotic Contr...

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7th International Symposium on Autonomous Systems, ISAS 2024

作者： Liu, Shanlin Zhang, Yingwei Zhao, Xudong Wang, Hesheng Northeastern University College of Information Science and Engineering Shenyang China Northeastern University State Laboratory of Synthesis Automation of Process Industry Shenyang China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350363173

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent. © 2024 IEEE.

关键词： Approximation algorithms

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Investigation of the Performance Characteristics of the Angle-based Proportional Navigation Guidance Law

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IFAC-PapersOnLine 2023年第2期56卷 7020-7025页

作者： Bülent Özkan Mehmet Turan Söylemez Mechanical Engineering Department Gazi University Ankara Turkey Control and Automation Engineering Department Istanbul Technical University Istanbul Turkey

Guidance commands generated by the proportional navigation guidance (PNG) law which constitutes the most popular one among the guidance laws applied on the guidance munition fired against predetermined targets are in the form of linear acceleration or angular speed as dictated by the relevant engagement geometry. As a result of the studies in which notable linear acceleration- and angle-based guidance laws are compared, it is seen the lateral acceleration values obtained with the PNG law occur in a lower level than the results of the angle-based guidance laws. However, the angle-based guidance laws lead to lower final miss distances. In this study, the PNG law is so adapted that it yields angle-based guidance commands and then it is applied upon a short-range air-to-surface missile against a maneuvering surface target as well as the velocity pursuit guidance law that is nothing but a version of PNG law, linear homing guidance law, and body pursuit guidance law. After the computer simulations, it is observed that the angle-based PNG law produces smaller final miss distances compared to its original form. The resulting lateral accelerations are in admissible levels. Also, the engagement duration values with the target happen to be almost the same.

关键词： Guidance proportional navigation guidance guided munition acceleration-based guidance laws angle-based guidance laws

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Semi-Autonomous Navigation Based on Local Semantic Map for Mobile Robot

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 27-33页

作者： ZHAO Yanfei XIAO Peng WANG Jingchuan GUO Rui Department of Automation Institute of Medical RoboticsShanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai200240China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240China State Grid Intelligence Technology Co. Ltd.Jinan250013China

Mobile robots represented by smart wheelchairs can assist elderly people with mobility *** paper proposes a multi-mode semi-autonomous navigation system based on a local semantic map for mobile robots,which can assist users to implement accurate navigation(e.g.,docking)in the environment without prior *** order to overcome the problem of repeated oscillations during the docking of traditional local path planning algorithms,this paper adopts a mode-switching method and uses feedback control to perform docking when approaching semantic *** last,comparative experiments were carried out in the real *** show that our method is superior in terms of safety,comfort and docking accuracy.

关键词： semi-autonomous navigation mobile robot semantic map voice interaction

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Safety stabilization of switched systems with unstable subsystems

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control Theory and Technology 2022年第1期20卷 95-102页

作者： Lijun Long Yiguang Hong State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang110819LiaoningChina College of Information Science and Engineering Northeastern UniversityShenyang110819LiaoningChina Department of Control Science and Engineering Tongji UniversityShanghai201804China

This paper is concerned with the problem of safety stabilization for switched systems where the solvability of the problem under study for individual subsystems is not assumed.A new state-dependent switching strategy with guaranteed dwell-time for switched systems is constructed,and a sufficient condition for absence of Zeno behavior is ***,a novel switched control design method is proposed to simultaneously guarantee the safety of the switched closed-loop system and stabilize the system based on the union of a common barrier function and a single Lyapunov function,which effectively handles the conflict between safety and stability ***,two examples are presented to demonstrate the effectiveness of the proposed design approach.

关键词： Safety stabilization Switched systems Common barrier function Single Lyapunov function State-dependent switching

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An Algorithm for 3D Object Detection Based on Frustum-PSPNet 18th

An Algorithm for 3D Object Detection Based on Frustum-PSPN...

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18th Chinese Intelligent Systems Conference, CISC 2022

作者： Chen, Ying Li, Lin Huang, Mei Automation Division Department of Control Science and Engineering University of Shanghai for Science and Technology Shanghai200093 China

ISBN: (纸本)9789811962028

In this paper, an improved 3D objective detection algorithm called Frustum PSPNet (F-PSPNet) is proposed combing RGB algorithm and point cloud data. First, the 2D region proposals in the RGB image are generated by using the 2D CNN object detector, and each obtained 2D region proposal is lifted to 3D frustum through the camera projection matrix. Next, the points in the frustums are grouped by sliding along the frustum axis with stride. To improve the utilization of feature information, each set of points is sent to the PointNet added attention mechanism to extract point-wise features. Then, F-PSPNet arrays these features as a feature map for use of its subsequent component of the Pyramid Scene Parsing Network (PSPNet). Finally, 3D object detection and class confidence are done in the proposed F-PSPNet. Experiments on KITTI dataset show that the detection accuracy of F-PSPNet has improved compared with other models, especially in pedestrian detection. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Object detection

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